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The traditional TF-IDF algorithm is a common method that is used to measure feature weight in text categorization. However, the algorithm doesn't take the distribution of feature terms in inter-class and intra-class into consideration. Consequently, the algorithm can't effectively weigh the distribution proportion of feature items. In order to solve this problem, information entropy in inter-class...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.